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Data analytics with Python Training

Home » Data analytics with Python Training
  • Total Learners400+
  • AssignmentsYes
  • Skill Level All Level
  • Flexible Timing 60 Hrs

No.1 Best Data Analytics with Python Training In Bangalore

The data analytics with python training in Bangalore teaches you to gain knowledge in all the aspects and the concepts of programming using the python software. Python has extensively used in data science, as it is very flexible and has a clear language. A beginner in data analyst can also learn all the concepts in data manipulation through its vast libraries. While you are training in data science with Python, you also gaining knowledge in machine learning, web scraping, data analysis, data visualization, and natural language processing. After the completion of the course, you will be the master in the application of tools of data science with Python.

Data science and Python

Data science has taken over the maximum popularity from the past few years. It aims at converting the useful data into business strategies for the betterment of the business, thus leading to the extensive growth of the company. Initially, the leading IT companies used data analytics, but the scenario is changing today. The best data analytics with python training in Bangalore guides to use data analytics in business from varied sectors like finance, e-commerce, healthcare, etc.

Python- the most popular language

Among the various programming tools, Python is the most popular in data analytics and is very easy to use. Python is recommending in the coding world that supports object-oriented programming, structured programming, and functional programming languages. Python is considering as the most popular language in programming all over the world because of its comfortable and suitable language for the various tools and applications in data science. Python is also used in widening Google's internal infrastructure and in the construction of varied forms, including YouTube.

Key Features

40 Hours of instructor.

Flexible Schedule.

Dedicated Sessions from our faculty.

Experience - case studies and projects

One year course Validity.

Certification.

Data analytics with Python Course Description

About data analytics with python course

The best data analytics with python certification in Bangalore can be attending through either online training or self-paced learning. The course duration is for 220 hours in which you are getting 78 hours of live training and need to take out 10 hours weekly for self-study. The course is open for students from various backgrounds like business management, engineering, statistics, and Mathematics. The route recommended to the students who do not want to know only about Python but also about machine learning and advanced data analytics. The learners who wish to start their career in data science will be soon covering the underlying skills.
  • Web scraping
  • Data wrangling
  • Data exploration
  • Python programming concepts
  • Data visualizing
  • Mathematical computing
  • Hypothesis building
  • NumPy and SciPy package
  • Scikit learn package for the processing of Natural Language

Training in the course

You are looking for the best data analytics with python training in Bangalore, which covers three types of learning in the said course.
  • First is the self-paced e teaching, which you may access a lifetime. It covers the content that is organized and present by the experts in the industry. You will be assisting with 24x7support from the well-trained experts in data science and Python.
  • Next is the blended form of learning, which is the online training course is for 90 days. The course is flexible under the guidance and support of 24 x 7 trained instructors that provide you with lifetime access to the self-paced, high-quality e-learning course materials. It provides you with live recordings in the class; thus, audiovisual training shows a powerful impact on your learning skills.
  • Finally, it is the corporate training, known as the customized training with flexible pricing and 24 x 7 support from the trained instructors. The course provides enterprise dashboards for the individuals as well as for the team members that stresses on self-paced, e-learning instructed the based course.

How to get the training certificate?

The data analysis and python certification in Bangalore awarded to those who fulfill the below criteria.
  • You should complete at least one project out of the two schemes given for the course. You shall submit all the details of the project within the scheduled time in the LMS that shall execute and evaluated by the training staff.
  • You must complete at least 85% of the course.
  • You should have attended at least one complete batch.
  • The score in any of the simulation tests shall be a minimum of 60%.
After completing the above criteria in your career, you are eligible to become a data scientist with Python.

Advantages of data science with Python

The most extensively used language in data science, academic research, and machine learning are Python. The best data analytics with Python training institute in Bangalore follows the teaching of data science using Python due to the benefits associated with the same. Python is simple to use, flexible, and is improving and updating from time to time. The tools understand other languages like the Java and the existing applications. The various underlying advantages provide an answer to all your queries.
  1. Simple to use: The reason Python has taken over the programming language and the data science is its simplicity. Python is very simple to understand and quickly readable, which makes a beginner too friendly with a new language. The clarity in the syntax with a shorter learning curve makes learning more straightforward than any other words. On the contrary, it is effortless and quick to write a program in Python compare to any other languages like C++ or Java. Python saves time as it immediately starts the research without reading the documents for long hours. Today, Python is used extensively used for web development, data analysis, text processing, statistical analysis, and many more.
  2. Libraries: The comprehensive and varied in libraries add to Python's inherent simplicity. The introduction of libraries makes the program execute faster and in a more straightforward way. The different operations in the library are appealing and attracting the professionals and data scientists to enhance the functions at a faster speed. Among the wide variety in libraries, some of the other may be suitable to your needs and requirements. The popular libraries used for data analytics with python process automation are as follows.
    • NumPy libraries are the earliest one to use in data science that is good for scientific purposes. It can solve complex mathematical problems.
    • Panda's libraries are capable of doing everything. It can import data from the excel sheets and process the same.
    • SciPy is similar is NumPy that comprises all the tools used for analyzing scientific data and numerical integration.
    • Apart from the above libraries, there are many other ones too, like the Bokeh, Seaborn, Ggplot, PyMc, SymPy, PyTables, etc. to name a few.
  3. Multi-paradigm approach: Compare to other languages that have a limited plan on programming, Python has a multi-paradigm approach. It supports both the procedural, functional, aspect-oriented, and objects oriented programming techniques.
  4. Community: Since Python belongs to an open-source community, it is open for discussions and solves problems. It is ready with a solution whenever you have stuck anywhere in between coding or any such thing. It answers online that immediately connects with the community of python members who are available 24 x 7 to assist you. They are the change makers for data scientists and analysts.
  5. Excellence in enterprise application integration: Python recommends application scripting providing the strong alliance with C, Java, and C++. Moreover, Python serves as a useful tool for testing the software, text processing, and inclusion. It has a massive network for the construction of applications requires for the desktop.
  6. The Jupyter notebook: whoever is working with Python may acquaint with the jupyter notebook, as it is an open-source for the coders to write amazing codes. A handy tool highlights the findings and the results in the same system, making it simple to use.

Few benefits of data science with Python:

Data scientists are in high demand, not in the software or the IT industry but also all sectors. It is advantageous in a few application-based sectors like the business, healthcare, government, security, energy, and many more. Presently, there are shortages of data analytics with python jobs due to which companies are facing problems, as they are unable to find the trained candidates for the same. There are a few reasons you should learn data science with python programming; being the most potent tool is as follows.
  • Easy to learn – python is a primary language to learn compared to any other tool even when you do not possess any knowledge about coding. The thing that scares a nonprofessional becoming a data scientist is the knowledge about the skills in coding. Python makes it simple and easy.
  • The variety and powerful packages – Python comes with many packages like the pandas, SciPy, NumPy, etc. These packages make coding simple and easy to solve complex data in the program of data analytics.
  • It is compatible with Hadoop - python belongs to an open-source community and is compatible with big data Hadoop. Thus, the combination of Python and Hadoop, are together known as the pyDoop, is liable to solve complex problems in little time and less effort.
  • It provides better data visualization – All types of data, whether it is big or small, is easy to visualize using the Python. The data scientists find easy viewing of data and understand it in a better way.
  • It has robust community support – Data analytics with python process automation find it very easy to get the solution to all the problems in a short time. The active community provides 24 x 7 supports of new libraries and varied packages for various uses by the data scientists.
  • High speed in development and processing – The vital importance is the speed that is the key to be successful in the industry. A slow language is challenging to handle astronomical data, so Python is the solution to solve complex data, as it is clean and comfortable to handle. Initially, the execution of Python was slow, but the introduction of Anaconda had solved this problem too in recent years.

Python essential with data analysis

The inherent qualities of Python being very flexible, easy to learn, an open-source, and its support with an active community provide data analytics with python jobs in a go. The attractive profession with a handsome salary makes the study of data science a way ahead than any other course in the last few years. Presently, data analysis with Python is a trend with a bright future. Since there is a shortage of data scientists in the industry, you shall surely opt for the data analysis that may prove a lucrative choice. On the contrary, it assures that the demand for data analytics with Python will increase to 1000% in the coming years. Whether you have thoughts of becoming a data analyst or a data scientist, mastering in the Python is of utmost necessity.

The final thought:

If you are still confused about which journey to begin with that will make your future a right turn is the data science with python course. Data analytics with Python online training in Bangalore will provide a kick-start to your career with attractive job opportunities coming your way.
  • Overview
  • Course Content
  • Certification
  • Reviews
OVERVIEW

Course Features

  • Duration60 hours
  • Skill levelAll level
  • Batch Strength15
  • AssessmentsYes
  • Mock InterviewsYes
  • LanguageEnglish

Syllabus for Data science with Python training in Bangalore is largely classified in several sections keeping in my learning agility of our students as well as the practical assignments required to master the concepts.

Software Setup Instructions
  • Installation and Instruction
A Crash Course in Python Part 1
  • Data Types
  • Strings in Python
  • Variables and values
  • Boolean Types
  • Loops and decision Making
  • Functions
A Crash Course in Python Part 2
  • Iteration
  • Example
  • Data time Library
  • Bucketing Library
Getting data from the Internet Part 1
  • Getting data from internet
  • JSON
  • XML
  • Google API
Getting data from the Internet Part 2
  • Beautiful soap
  • Log in to web server
Database Basics
  • Basics
  • Normalization
Database Basics: SQL
  • SQL Integration with Python
  • Working across multiple Tables
Data Analysis and Visualization: Part 1
  • Numpy Intro
  • Numpy with Analytics
  • Pandas Introduction
  • Pandas Data Reader
  • Google Finance Data
  • Time Series Analysis
Data Analysis and Visualization: Part 2
  • Data Cleaning
  • Data Visualization
  • Sentiment Analysis
  • Word Cloud
  • Text analysis
  • Topic Modelling
Analysis of Networks
  • Introduction to Network Analysis
  • Construct a simple Network
  • Graph Drawing
  • Network Analysis Algorithm
Machine Learning with Python I
  • Classification algorithm
  • Regression
  • Assignment
Machine Learning with Python II
  • K NN Algorithm
  • Construct a simple Network
  • Clustering
  • Assignment
Final Project
  • Real-time Scenario based Projects
Career opportunities in Data science with Python
  • Data Scientist - Python
  • Data Science Analyst with Python skills
  • Data Science Engineer
  • Business Analyst - Python
  • Data analyst - Python
  • Python Developer - Machine Learning
Along with the Data Science with Python Course, all the students or candidates work on the final project through which we offer certification to all our candidates.
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  • Overview
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  • Certification
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Frequently Asked Questions

What if I miss a class ?

No need to worry if you ever missed a class. We always have more than one batch going on at a time and so you can attend the same class in another batch.

Will I get Placement Assistance?

Yes, you will get elaborate placement assistance until you get a decent job in the respective domain.

Can I Attend a Demo Session before Enrollment?

Yes, you can attend a demo session before joining the course at Trishana technologies, the best training institute in Bangalore.

Who are the trainers at Trishana Technologies?

Experienced skilled professionals with more than 10 years of IT experience and adequate teaching experience. Official certification, if available, is mandatory for our trainers.

What if i have more queries?

For solving all your queries and doubts, you can call us on +91 9513015050 or email us at info@trishanatechnologies.com) which are our dedicated helpline services.

You can also visit our office (here) for more information.

Trishana is conveniently located near you

We have spent ample amount of time in strategically planning the techniques of training as per the demands of the Industries. We are not very far away from your location and you can search us by “ Near Me” and find the following locations at ease.
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  • in Manyata Tech park
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